Kulicke And Soffa Stock Market Value
| KLIC Stock | USD 59.51 0.05 0.08% |
| Symbol | Kulicke |
Is Semiconductors & Semiconductor Equipment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Kulicke. If investors know Kulicke will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Kulicke listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.45) | Dividend Share 0.82 | Earnings Share 0.01 | Revenue Per Share | Quarterly Revenue Growth (0.02) |
The market value of Kulicke and Soffa is measured differently than its book value, which is the value of Kulicke that is recorded on the company's balance sheet. Investors also form their own opinion of Kulicke's value that differs from its market value or its book value, called intrinsic value, which is Kulicke's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Kulicke's market value can be influenced by many factors that don't directly affect Kulicke's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Kulicke's value and its price as these two are different measures arrived at by different means. Investors typically determine if Kulicke is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Kulicke's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Kulicke 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Kulicke's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Kulicke.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in Kulicke on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding Kulicke and Soffa or generate 0.0% return on investment in Kulicke over 90 days. Kulicke is related to or competes with Applied Opt, Daqo New, Veeco Instruments, Power Integrations, Vishay Intertechnology, Diodes Incorporated, and Himax Technologies. Kulicke and Soffa Industries, Inc. designs, manufactures, and sells capital equipment and tools used to assemble semicon... More
Kulicke Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Kulicke's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Kulicke and Soffa upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.29 | |||
| Information Ratio | 0.2163 | |||
| Maximum Drawdown | 13.36 | |||
| Value At Risk | (3.47) | |||
| Potential Upside | 4.84 |
Kulicke Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Kulicke's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kulicke's standard deviation. In reality, there are many statistical measures that can use Kulicke historical prices to predict the future Kulicke's volatility.| Risk Adjusted Performance | 0.1953 | |||
| Jensen Alpha | 0.4991 | |||
| Total Risk Alpha | 0.3349 | |||
| Sortino Ratio | 0.2562 | |||
| Treynor Ratio | 0.3535 |
Kulicke January 23, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1953 | |||
| Market Risk Adjusted Performance | 0.3635 | |||
| Mean Deviation | 1.97 | |||
| Semi Deviation | 1.61 | |||
| Downside Deviation | 2.29 | |||
| Coefficient Of Variation | 392.7 | |||
| Standard Deviation | 2.71 | |||
| Variance | 7.34 | |||
| Information Ratio | 0.2163 | |||
| Jensen Alpha | 0.4991 | |||
| Total Risk Alpha | 0.3349 | |||
| Sortino Ratio | 0.2562 | |||
| Treynor Ratio | 0.3535 | |||
| Maximum Drawdown | 13.36 | |||
| Value At Risk | (3.47) | |||
| Potential Upside | 4.84 | |||
| Downside Variance | 5.23 | |||
| Semi Variance | 2.6 | |||
| Expected Short fall | (2.10) | |||
| Skewness | 0.8626 | |||
| Kurtosis | 1.84 |
Kulicke and Soffa Backtested Returns
Kulicke appears to be very steady, given 3 months investment horizon. Kulicke and Soffa has Sharpe Ratio of 0.25, which conveys that the firm had a 0.25 % return per unit of risk over the last 3 months. By analyzing Kulicke's technical indicators, you can evaluate if the expected return of 0.67% is justified by implied risk. Please exercise Kulicke's Downside Deviation of 2.29, risk adjusted performance of 0.1953, and Mean Deviation of 1.97 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Kulicke holds a performance score of 19. The company secures a Beta (Market Risk) of 1.92, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Kulicke will likely underperform. Please check Kulicke's downside variance, daily balance of power, and the relationship between the maximum drawdown and skewness , to make a quick decision on whether Kulicke's current price movements will revert.
Auto-correlation | 0.86 |
Very good predictability
Kulicke and Soffa has very good predictability. Overlapping area represents the amount of predictability between Kulicke time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Kulicke and Soffa price movement. The serial correlation of 0.86 indicates that approximately 86.0% of current Kulicke price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.86 | |
| Spearman Rank Test | 0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 23.72 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Kulicke and Soffa offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Kulicke's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Kulicke And Soffa Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Kulicke And Soffa Stock:Check out Kulicke Correlation, Kulicke Volatility and Kulicke Alpha and Beta module to complement your research on Kulicke. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Kulicke technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.